dinsdag 24 mei 2011

How to achieve results beyond your imagination

Sanoma is a collective mind of over 20.000 individual employees. Until recently, the combined intelligence of a group has been inversely proportional to group size. Why? Because it was just to inefficient to share knowledge, to access what other colleagues were doing, thinking or sensing. Until recently, it has been hard to think and act as one ‘Sanoma-organism’. Caused by disconnection in space and time.

Today, open source, webbased wiki-technology beats these (former) limitations and empowers Sanoma colleagues to form dynamic networks, generating ’smart’ results to compete more effectively and to adapt faster to a changing world.

The Sanoma Wiki facilitates 20.000 individuals to generate valuable group output as a byproduct, without regard of institutional models. Wiki-technology enables the company to coordinate all activities of individual Sanoma employees. Colleagues have - by working together - made the first steps in achieving a positive relationship between group size and the combined intelligence & productivity of the group. Our game-changing objective: Turn a former weakness - Sanoma's group size - into a strength.

The 'only' limitation left in this disruptive process innovation is a widespread, fundamental mindset change....Changing from a 'span of control' to a 'span of support'-mindset....Change an institutional way of organizing into a business culture of working together in true collaboration to achieve common outstanding results....beyond what we have done before.

There are three basic 'working together cultures'. Only one of which is a truly collaborative 'working together culture'.*

The first 'working together culture' is labelled a 'Compliance Culture'. This is when each team member independently responds to the challenge by taking action in her own area. In other words, everyone on the team complies with the need to do something, but avoids working together. For example, A divisional leadership team that was required to reduce overall headcount by 10% to meet the corporation's goals. With very little discussion, each person agreed to cut 10% of the people from their own function and report the numbers back to the divisional controller. While this "spread the pain evenly" approach indeed met the corporate requirement, there was probably a better way.

The second 'working together culture' is labelled a 'Cooperation Culture'. Here again each person develops and implements his own plans, but in this case shares what he is doing with the group. While there is some amount of joint discussion, the focus is still on individual actions rather than a collective strategy. For example, when one technology company needed to increase its sales performance, the districts were all given significantly higher targets. The district managers then went about achieving these targets in different ways. Some increased individual sales quotas across the board; others reallocated resources to higher-potential customers; and still others focused on closing the gap with services contracts. The managers shared these approaches on their weekly calls, and gave each other feedback. But they never created a joint strategy to leverage their combined resources, ideas, and talents. In the end, while some districts hit their targets, the overall numbers were disappointing.

The third 'working together culture' is labelled a 'True Collaboration Culture'. In both of the cases described above, a 'True Collaboration Culture' might have led to a more robust and effective outcome. In the headcount example, the leadership team might have identified specific areas where headcount could be reduced by more than 10%, considered ways of consolidating similar activities into shared service centers, or any number of other possibilities. In the sales example, the district managers might have reallocated resources across districts, created joint campaigns for particular products, or brainstormed many other ideas that could have been quickly tested and possibly scaled.

What's interesting is that neither team consciously decided not to collaborate. Instead they did what came naturally, which is to work either completely or partially on their own.

The reality is that reaching a 'working together culture' of true collaboration is difficult. It requires subordinating individual goals to collective achievement; it means engaging in tough, emotional give-and-take discussions with colleagues about strategies and ideas; and it often leads to working in new ways that may not be comfortable or easy. So given these difficulties, most teams find it easier to talk about collaboration rather than do it.

It doesn't have to be this way. Teams can address their challenges through true collaboration, and by doing so can achieve outstanding results. The starting point however is to make a conscious — and collective — decision to go beyond compliance and cooperation.


Within Sanoma we have succeeded to overcome the - understandable - resistance to this disruptive way of true collaborative dynamic-network-organizing and reached the tipping point. I am confident that the network effect will continue, building valuable group output and achieving results that were once only available in our imagination.

* Source: Harvard Business Review, Teams That Only Think They Collaborate, by Ron Ashkenas, 2011

zondag 15 mei 2011

Disruptive innovations in science: daring to transcend outdated conventions to productively lose control


The BBC4 documentary 'Dangerous knowledge' looks at four brilliant mathematicians - Georg Cantor, Ludwig Boltzmann, Kurt Gödel and Alan Turing - who dared to transcend outdated assumptions and conventions, but which tragically drove them insane and eventually led to them all committing suicide.

The documentary begins with Georg Cantor, the great mathematician whose work proved to be the foundation for much of the 20th-century mathematics. He was eventually driven insane trying to prove his theories of infinity.




Learn more of Ludwig Bolzman's entropy theory by this TED talk. And an introduction of Richard Feynman.


Learn more of Richard Feynman by this TED talk. Key message: go for less baloney and for more ham.

vrijdag 13 mei 2011

Intersection Day One: business models agnostic to unfolding solutions for complex systems

When disruptive innovations occur, people keep behaving in the same way.....still driven by outdated assumptions. When society adopts new tools, it takes a while before 'the mainstream' adopts mindset, culture and new behaviours to align themselves with what is possible. (f.i. Monks continued to handdraw illustrations on books printed by Guttenberg's press; behaviours driven by outdated assumptions). Nowadays, together (in collaborative networks of individuals) everything is possible, but 'the mainstream' still has to align themselves mentally and culturally.

We know how to change with the new tools, products, processes or services, we just don't do it, because we still don't think in a way that is aligned with these new possibilities.
Invention is creating stuff, innovation is creating value.
Innovation = Idea (product/service/proces/new way of thinking/new way of doing) + Impact
Innovation = Impactfull leverage of ideas. Creating impact. Imagination made count.
Incremental innovation
Three layers to find the breakthrough of disruptive innovation: The space (the meanings of the space, the culture) , the system (how the systems works within that space, the subjects (the indidual value proposition, the individual players).
Disruptive innovation example: Netbook took in 1 year 10% of the global market. Before no one thought about it.

Hierarchies maintain the status quo. Hierarchies fix our mental models. Hierarchies ensure people think the same.
Hierarchies are being dissolved in a networked globalised participatory society.
Innnovation in hierarchies (Apple company): One size fits all, determined by the authority (Steve Jobbs)
Innovation in networks (Google): Groups form around interest and solve problems themselves.
The law of unexpected win, win, wins

The challenging journey of holistic, networked, disruptive innovation.
Re-designing the future of business. How to (business re-)design for openness?
Belief 1 - Valueing diversity: value being created at the intersection of disciplines
Belief 2 - Look to extremes: will give you a glimpse of the future
Belief 3 - A 'designing systems approach': Unit of analysis can sometimes be meta-level, sometimes be a business model. Scalable approaches. solutions for complex systems can be combinations of a product, process, brand or service. Business models agnostic to unfolding solutions for complex systems..


Learnings with open models:
A. Conscious contributions (Wikipedia) versus unconscious contributions (Google, Last fm)
B. Yesterday: scale is good, because it makes it cheaper. Tomorrow: scale is good because it makes the whole Marketing Eco System better. B1: Makes the product/service/brand better). B2: Improves the personal relevance. B3. Makes the concept smarter. .


Data is the new oil & soil. Discover hidden patterns in data by visualization.
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Intersections Day Two: Josephine Green from Dott Cornwall on Vimeo.

woensdag 27 april 2011

Synthetic biology: creating artificial genomes to efficiently produce biofuels


Being able to design and - artificially - create entire genomes, instead of just short lengths of DNA, will dramatically speed up the process of engineering microbes that can carry out tasks such as efficiently producing biofuels or vaccines.

Until last year, biologists hadn't been able to make large enough pieces of DNA to create an entire genome. Though living cells routinely make long stretches of DNA, a DNA synthesis machine can't do the same.

In May 2010, ­researchers at the J. Craig Venter Institute announced their solution to this problem:



  • Step 1. Using yeast cells to stitch together thousands of fragments of DNA made by a machine;

  • Step 2: pooling the longer pieces;

  • Step 3: repeating the process until the genome was complete;

  • Step 4: inserting the genome into bacterial cells that are about to divide and grow the bacteria in a medium hostile to all cells except the ones harboring the synthetic genome.

The researchers tried their solution. And it worked! We are now able to create bacteria which are the first living creatures with a completely artificial genome. The microbes' entire collection of genes was edited on a computer and assembled by machines that create genetic fragments from chemicals and by helper cells that pieced those fragments together.

The same researchers have also developed a faster, yeast-free way to assemble large pieces of DNA in a bottle. They are using these methods to rapidly synthesize the viral DNA needed to speed up the production of influenza vaccines.

The creation of the synthetic cell is part of an effort to design a "minimal cell" containing only the most basic genome required for life. Synthetic biologists could use this minimal cell as the basis for cells that efficiently produce biofuels, drugs, and other industrial products.

Right now, the technique for incorporating his synthetic genome into living cells works only with mycoplasmas, which are useful for experimentation but not for industrial purposes. By adapting this system to work with a broader group of bacteria, it could be used to speed up the process of engineering microbes that make a wide variety of products.


At least two challenges remain:


1. Developing appropriate recipient cells for genome transplants, and


2. Finding ways of working with even larger pieces of DNA.

(Source: Technology review, MIT)

vrijdag 22 april 2011

How to uncover opportunities to connect with young consumers

In order to uncover influential opportunities for your brand to connect with young consumers, it is not enough to base your allocation decisions on 'time spent on a media channel'.

In order to uncover opportunities for your brand to connect with young consumers, you need to truly understand their core motivations for using each specific channel. Without digging deeper into motivations (researching the greater picture of how and why young consumers are using f.i. social channels), much of the opportunity will remain unearthed.


donderdag 21 april 2011

Simon Sinek: What, How, Why & Trust

Planet of the apps - Android strikes back

Update of Sanoma's app development proces by Herman Kienhuis at Amsterdam Mobile Convention, April 20, 2011, Amsterdam

woensdag 20 april 2011

Neuroscience: what’s it good for?

It’s only a matter of time before neuroscience methods become a standard part of what researchers do. As we at Sanoma Media Netherlands learn more about the way people interact with brands and marketing, and about how people make decisions, we realise more that we need to be going beyond the conventional research-tools.

Neuroscience-based research gives us additional insights about how consumers make decisions and therefore will lead us to improve the communications- and business-solutions we offer to our business partners.

Are neuroscience research methods able to predict 'commercial conversation' success with more accuracy than conventional research methods?
A study* considered 24 ads and a measure of increase in sales due to ad-viewing and found that, when amygdala, hippocampus and parietal activation were combined and correlated with sales increase, a correlation value of 0,93 was observed.

Sanoma's advertisers have been receptive to our neuroscience-based research because they see that they’re getting insights that they wouldn’t have got beforehand from a regular survey.

When are which neuroscience research methods helpful?
There are lots of different ways of doing neuroscience-based research, some of which are more suited to some things than others.

A. Eyetracking - allows the computation of:
1. How quickly attention is directed to the brand on a package, or an ad (Attention)
2. How long viewers look to the brand on a package, or an ad. The number of fixations of a specific ad element is correlated with later recall of that specific object (Memory)
3. For static and dynamic stimuli, different analytics techniques need to be used.

B. fMRI - enables us to look at activation in specific brain areas. Studies have indicated that specific areas of the brain are activated during specific types of cognitive and emotional processing. Questions such as 'which one of two ads is more emotionally engaging/memorable/attention grabbing', are best addressed through fMRI. fMRI provides answers to the following questions:

1. Does a specific ad evoke an emotional reaction
2. Are elements from the ad stored in long-term memory?
3. Is an ad processed attentionally?

Emotional processing is indicated by neural activity in a network of areas in the amygdala
Memory processing is indicated by neural activity in a network of areas in the hippocampus
Attentional processing is indicated by neural activity in a network of areas in the occipital, parietal and the frontal cortex

C. EEG - Questions that can be addressed by EEG
1. Which parts of an ad are more alerting
2. Does a particular feature of an ad evoke a more positive, or a more negative reaction to the viewer
3. How does the exact time course of processing differ across different ads?

Conclusion: Investing in neuroscience research in advance of an advertising campaign is usefull to test the likely effectiveness of the material. Insight into neuroscience techniques is necessary to make good research investment choices and to be able to properly understand the outcome of the investment.

* Kennedy, R., Northhover, H. Leighton, J. Bird, G., & Lion, S. (2010). Pre-test advertising - proposing a new validity project. Copenhagen: EMAC Conference Proceedings
(Source1: Silvia Dalvit and Jane Leighton, Admap, februari 2011, pp. 12-14)
(Source2: Robert Bain, "A change of mind", www.research-live.com, april 2011)

donderdag 14 april 2011

Next level of human evolution

Meet the scientific prophets who claim we are on the verge of a next level of human evolution.

It's predicted that by 2029 computer intelligence will equal the power of the human brain. Some believe this will revolutionise humanity - we will be able to download our minds to computers extending our lives indefinitely. Others fear this will lead to oblivion by giving rise to destructive ultra intelligent machines.

One thing they all agree on is that the coming of this moment - and whatever it brings - is inevitable.

dinsdag 12 april 2011

Can neuroscience offer more certainty that your advertising pushes the right buttons?


The ability to predict consumer behaviour using neuroscience techniques is much greater than that shown by self-report methods. Neuro research may be useful to test the likely effectiveness of a campaign. But there are caveats.

Neuroscience offers very powerful methodologies, but it cannot answer all advertisers’ questions with any single method. Insight into neuroscience techniques is necessary to make good research investment choices and to be able to properly understand the outcome of the investment. It is worth the effort as neuroscience technologies offer marketers tools for designing effective campaigns and predicting success.

(source: Silvia Dalvit and Jane Leighton, Admap, February 2011, pp. 12-14)

Since October 2010, Sanoma Media Netherlands is using neuroscience techniques to gather - next level - consumer insights (media consumption, effectivity of campaigns, consumer oriëntation- and purchase-proces). More of our 'Mediabrain' project in this video (in Dutch):


"The conscious mind seeks answers to why, the unconscious mind knows why."

zaterdag 2 april 2011

Sensorconomy: competing on real-time analytics

Fact
To offer each empowered individual real-time relevance, media companies need be "in the moment" with data insights.

Conclusion
Excellent big data gathering skills and real-time big data analytics are becoming key competences for future proof media companies. It's all about competing on real-time analytics.

Side effects
Real-time analytics is driving in-memory analytics, the hardware race and the evolution of BI and analytics software.

maandag 14 maart 2011

Real-time data visualizations with deep implications.

MIT researcher Deb Roy wanted to understand how his infant son learned language, so he wired up his house with videocameras to catch every moment (with exceptions) of his son's life, then parsed 90,000 hours of home video to watch "gaaaa" slowly turn into "water."

Astonishing, data-rich research with deep implications for how we learn.

zondag 13 maart 2011

State of media: time to transcend conventions to productively lose control

It is time for media companies to start the journey of innovation, to DO things again, not just evade things. The story of the frog getting used to the water which is slowly getting boiled is a great metaphor for the state of media companies today.

We can only blame ourselves. Over the last 20 years the Marketing Eco System has gotten more complex, and has gotten more liquid. And we, the 'classical media companies', are cowards. So, as we have faced accountability and liability, we have stepped back and back, and unfortunately, where there is accountability and liability, guess what there is. Power. So, eventually we have found ourselves in a marginalized position in the emerging Marketing Eco System.

So, what do we, the classical media companies, need to do? Using our unique competences, we need to start authoring processes again, instead of authoring products. We need to go back to three key points at the beginning of the process.

The first is, account managers of media companies take core positions with your accounts (marketeers, formerly known as advertisers).

The second position is actually, take positions. Take joint positions with your account. This is the moment in which you as account manager (architect of media-, marketing & business-solutions), and your account (marketeer, formerly known as advertiser) can begin to inject the brandkey and the brand vision, combined with the sales targets. In other words, can begin to inject driving sales, while building brands. But it has to be done together.

And then only after this is done, are you allowed to do this, begin to put forward transmedia concepts (manifestations of the brandkey, 24/7 conversation proof), that manifest those positions.

And both marketeer (formerly known as advertiser) and the accountmanager of the media company alike are empowered to critique those manifestations based on the positions that you've taken.

If you do this, the media company will reach the state of 'productively losing control'. You do not know what the end result is. But, with enough brain power and enough passion and enough commitment, you will arrive at concepts and conclusions that will transcend conventions, and will simply be something that you could not have initially or individually conceived of.

About the author

Manager Marketing Intelligence Sales, Sanoma Media Netherlands david.deboer@sanomamedia.nl www.twitter.com/daviddeboer